D-Index & Metrics Best Publications

Arnau Oliver

University of Girona
Spain

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 33 Citations 6,556 142 World Ranking 8469 National Ranking 124

Overview

What is he best known for?

The fields of study Arnau Oliver is best known for:

Magnetic resonance imaging
Reduction (mathematics)
Field (mathematics)

As a member of one scientific family, Arnau Oliver mostly works in the field of Pectoral muscle, focusing on Anatomy and, on occasion, Atlas (anatomy). His Atlas (anatomy) study often links to related topics such as Anatomy. His studies link Data set with Artificial intelligence. His study on Pattern recognition (psychology) is mostly dedicated to connecting different topics, such as Artificial intelligence. His study on Segmentation is mostly dedicated to connecting different topics, such as Image segmentation. He frequently studies issues relating to Segmentation and Image segmentation. His Computer vision study typically links adjacent topics like Brain atlas. His study deals with a combination of Brain atlas and Magnetic resonance imaging. Arnau Oliver performs integrative study on Magnetic resonance imaging and Voxel.

His most cited work include:

A review of automatic mass detection and segmentation in mammographic images (335 citations)
A review of atlas-based segmentation for magnetic resonance brain images (318 citations)
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach (259 citations)

What are the main themes of his work throughout his whole career to date

His Voxel research extends to Artificial intelligence, which is thematically connected. His research combines Image segmentation and Segmentation. He merges Image segmentation with Computer vision in his study. His work in Computer vision is not limited to one particular discipline; it also encompasses Segmentation. His study on Internal medicine is mostly dedicated to connecting different topics, such as Breast cancer. His Breast cancer study frequently draws connections between adjacent fields such as Breast tissue. As part of his studies on Breast tissue, he often connects relevant areas like Cancer. His Cancer study frequently links to related topics such as Breast density. Many of his studies on Breast density involve topics that are commonly interrelated, such as Internal medicine.

Arnau Oliver most often published in these fields:

Artificial intelligence (95.83%)
Pattern recognition (psychology) (83.33%)
Segmentation (68.06%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
arXiv: Computer Vision and Pattern Recognition (2018)

1068 Citations

A review of atlas-based segmentation for magnetic resonance brain images

Mariano Cabezas;Arnau Oliver;Xavier Lladó;Jordi Freixenet.
Computer Methods and Programs in Biomedicine (2011)

463 Citations

A review of automatic mass detection and segmentation in mammographic images.

Arnau Oliver;Jordi Freixenet;Joan Martí;Elsa Pérez.
Medical Image Analysis (2010)

440 Citations

A Novel Breast Tissue Density Classification Methodology

A. Oliver;J. Freixenet;R. Marti;J. Pont.
international conference of the ieee engineering in medicine and biology society (2008)

302 Citations

Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet.
Information Sciences (2012)

274 Citations

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.

Sergi Valverde;Mariano Cabezas;Eloy Roura;Sandra González-Villà.
NeuroImage (2017)

273 Citations

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.

Jose Bernal;Kaisar Kushibar;Daniel S. Asfaw;Sergi Valverde.
Artificial Intelligence in Medicine (2019)

250 Citations

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

Soumya Ghose;Arnau Oliver;Robert Martí;Xavier Lladó.
Computer Methods and Programs in Biomedicine (2012)

239 Citations

Breast segmentation with pectoral muscle suppression on digital mammograms

David Raba;Arnau Oliver;Joan Martí;Marta Peracaula.
iberian conference on pattern recognition and image analysis (2005)

220 Citations

False positive reduction in mammographic mass detection using local binary patterns

Arnau Oliver;Xavier Lladó;Jordi Freixenet;Joan Martí.
medical image computing and computer assisted intervention (2007)

146 Citations

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Frequent Co-Authors

External Links

Personal Website for Arnau Oliver